Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

“…In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. …”

Python programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)

Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization by Huichao Yin (14589020)

“…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…”

Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

Example of loading and running BNGL model in MCell4. by Adam Husar (18437351)

“…<p>Python code for an MCell4 model that will implement loading of the BNGL file shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011800#pcbi.1011800.g010" target="_blank">Fig 10</a> (referenced as subsystem.bngl). …”

PYTHON by Kan Jia (21666161)

Boundary-value problems and solutions for the examined numerical models. by Xuzhen He (14676114)

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Five Operator Lattice Simulation by James McDaniel (22522571)

“…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…”

Performance metrics for ProSmith and previously published methods for DTA prediction on the random split of the Davis dataset. by Alexander Kroll (9304225)

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Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios. by Alexander Kroll (9304225)

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For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. by Alexander Kroll (9304225)

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Coefficient of determination <i>R</i>² of ProSmith for different splitting scenarios of the Davis dataset. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the number of positive data points with the same small molecule in the training set. by Alexander Kroll (9304225)

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Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the maximal sequence identity of an enzyme compared to all training enzymes. by Alexander Kroll (9304225)

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Drug-target affinity predictions improve with increasing drug similarity score compared to the training drugs. by Alexander Kroll (9304225)

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Performance metrics of ProSmith and previously published methods for the prediction of Michaelis constants <i>K</i>_M. by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith Transformer Network. by Alexander Kroll (9304225)

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Enzyme-substrate pair predictions improve with increasing substrate similarity compared to training substrates. by Alexander Kroll (9304225)

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